Jay Moon
Impact in
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- Antibiotic Resistance in Bacteria
- Management Information Systems top 10%
- FinTech, Crowdfunding, Digital Finance
Papers in
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- HIV/AIDS drug development and treatment 2
- Antimicrobial Resistance in Staphylococcus 1
- Oncology 3
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Valentina Assenova (1 shared paper)Olav Sorenson (1 shared paper)Eric R. Hall (1 shared paper)Chad C. Black (1 shared paper)Matthew E. Wise (1 shared paper)Benjamin C Kirkup (1 shared paper)Rebecca L. Pavlicek (1 shared paper)Daniel V. Zurawski (1 shared paper)
- Journals
- Optics Letters (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)California Management Review (1 paper)Regional Anesthesia & Pain Medicine (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesThailandSouth Korea
In The Last Decade
Jay Moon
7 papers receiving 152 citations
Peers
Comparison fields: 5 of 61
- Molecular Medicine 32
- Management Information Systems 42
- Microbiology 21
- Endocrinology 15
- Marketing 20
Countries citing papers authored by Jay Moon
This map shows the geographic impact of Jay Moon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jay Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Moon more than expected).
Fields of papers citing papers by Jay Moon
This network shows the impact of papers produced by Jay Moon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jay Moon. The network helps show where Jay Moon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Moon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 66 | |
| 2 | 2016 | 44 | |
| 3 | 2010 | 37 | |
| 4 | 2011 | 6 | |
| 5 | 2014 | 3 | |
| 6 | 2002 | 1 | |
| 7 | 2002 | 1 |
About Jay Moon
Jay Moon is a scholar working on Infectious Diseases, Oncology, Public Health, Environmental and Occupational Health, Molecular Biology and Neurology, having authored 7 papers that have together received 158 indexed citations. Recurring topics across this work include Malaria Research and Control (3 papers), Drug Transport and Resistance Mechanisms (3 papers), HIV/AIDS drug development and treatment (2 papers), Antimicrobial Resistance in Staphylococcus (1 paper), Advanced MEMS and NEMS Technologies (1 paper), FinTech, Crowdfunding, Digital Finance (1 paper), Laser Material Processing Techniques (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Molecular Medicine (32 citations), Management Information Systems (42 citations), Microbiology (21 citations), Endocrinology (15 citations) and Marketing (20 citations). Jay Moon has collaborated with scholars based in United States, Thailand and South Korea. Frequent co-authors include Valentina Assenova, Olav Sorenson, Eric R. Hall, Chad C. Black, Matthew E. Wise, Benjamin C Kirkup, Rebecca L. Pavlicek, Daniel V. Zurawski, Yonas A. Alamneh and Süleyman Yıldırım. Their work appears in journals such as Optics Letters, Antimicrobial Agents and Chemotherapy, California Management Review, Regional Anesthesia & Pain Medicine and Bioorganic & Medicinal Chemistry Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.